Assessing Global Adoption of the Central Banking Digital Currency

Central Banking Digital Currency (CBDC) is a digitalized version of cash. It seeks to preserve all the properties and characteristics of the monetary unit, the most famous of which are: a store of value, a medium of exchange, and a unit of account. Using machine learning techniques, the student will answer questions about how quickly […]

Read More
A Study on the Effectiveness of Computer Vision Models for Addressing Environmental Problems Using UAVs and USVs

The research project, guided by Professor Stephen Smith, focuses on addressing environmental challenges related to water pollution and debris detection in the water areas, with a specific emphasis on garbage and waste detection on the water surface. The project entails a systematic literature review and analysis of various computer vision models to detect and classify […]

Read More
NEGF based Cryogenic MOSFET simulation including inelastic scattering

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely […]

Read More
PaceZero BSI 2023

PaceZero – Impact Due Diligence Framework Development. This project will further develop an Impact Due Diligence process map for Impact measurement analysis.

Read More
A Nanomaterial-Integrated Paper Microfluidic Device for Detecting and Predicting Myocardial Infarctions

Cardiovascular disease kills 17.9 million people globally each year. 85% of these deaths were caused by either a myocardial infarction (heart attack) or stroke. Current tests for predicting heart attacks provide rapid results when presented with a blood sample, but these samples must be preprocessed using time-consuming methods. This project will develop a paper-based platform […]

Read More
Mapping tenant displacement through lived experiences

In today’s housing crisis, many low income tenants are unjustly evicted and displaced from their homes. To date, we have very little knowledge of how this happens and what this means to tenants, particularly outside big cities. This project will disseminate research into displacement conducted in four communities across Ontario: Oxford County, York Region, Kingston […]

Read More
Improvement and Innovation of current Mantech PECOD slide preparation process using magnetron sputtering

Currently, researchers at Nano and Micro System Lab (NMSL) of the University of Waterloo have been manufacturing photo-electro-chemical sensor slides using a bio-compatible material, titanium oxide to monitor water quality and contamination. But there are certain challenges in the slide performance and production scale and type of the current manufacturing technique. To overcome these industrial […]

Read More
Pattern matching for definite summation in Maple

The proposed project is to design and implement a pattern matching based method for definite symbolic summation in. To remain competitive, Maple’s symbolic computation capabilities, which are one of its strengths, need to be improved constantly. This includes the ability to symbolically evaluate definite sums. Closed forms for definite sums are important in many applications, […]

Read More
Library Fission: Improving APIs by observing real-world API usage

Modern software development heavily relies on external libraries. The proposed collaboration will create techniques and publicly-available tools useful to both users of external libraries and maintainers of these libraries. Our hypothesis is that different clients use different subsets of libraries’ API surfaces, and that it is possible to use clustering algorithms to automatically split libraries […]

Read More
Understanding cybersecurity data and analysis models with intelligent visualization

Cybersecurity incidents such as data breaches have become more critical and costly than ever, as we are generating, processing, and relying on more digital information every day. To quickly identify potential security attacks and prevent them in a sea of system activities, machine learning (ML) has been applied to support security analysts’ decisions. However, the […]

Read More